Zobrazeno 1 - 10
of 34 745
pro vyhledávání: '"AT Mazumdar"'
In this paper, we propose a distributionally robust safety verification method for Markov decision processes where only an ambiguous transition kernel is available instead of the precise transition kernel. We define the ambiguity set around the nomin
Externí odkaz:
http://arxiv.org/abs/2411.15622
We propose a framework for two-player infinite-dimensional games with cooperative or competitive structure. These games take the form of coupled partial differential equations in which players optimize over a space of measures, driven by either a gra
Externí odkaz:
http://arxiv.org/abs/2411.07403
We demonstrate the existence of genuine tripartite non-Gaussian entanglement in a quantum gravitational system formed by a quantum harmonic oscillator coupled to a single frequency of a quantized gravitational wave. For this purpose, we introduce a n
Externí odkaz:
http://arxiv.org/abs/2411.03293
Autor:
Elahi, Shafaq Gulzar, Schut, Martine, Dana, Andrew, Grinin, Alexey, Bose, Sougato, Mazumdar, Anupam, Geraci, Andrew
The Quantum Gravity Mediated Entanglement (QGEM) protocol offers a novel method to probe the quantumness of gravitational interactions at non-relativistic scales. This protocol leverages the Stern-Gerlach effect to create $\mathcal{O}(\sim \mu m)$ sp
Externí odkaz:
http://arxiv.org/abs/2411.02325
We provide a solution for decoherence in spatial superpositions due to scattering/collision with air molecules. This result reproduces the short- and long-wavelength limits known in the literature. We compare the decoherence rate with several existin
Externí odkaz:
http://arxiv.org/abs/2410.20910
Autor:
Li, Xiaxin, Mazumdar, Arya
In Group Testing, the objective is to identify K defective items out of N, K<
Externí odkaz:
http://arxiv.org/abs/2410.14566
In this paper, we study the data-dependent convergence and generalization behavior of gradient methods for neural networks with smooth activation. Our first result is a novel bound on the excess risk of deep networks trained by the logistic loss, via
Externí odkaz:
http://arxiv.org/abs/2410.10024
Autor:
Adamiak, Maciej, Grinblat, Yulia, Psotta, Julian, Fulman, Nir, Mazumdar, Himshikhar, Tang, Shiyu, Zipf, Alexander
This paper presents a method for detecting and estimating vehicle speeds using PlanetScope SuperDove satellite imagery, offering a scalable solution for global vehicle traffic monitoring. Conventional methods such as stationary sensors and mobile sys
Externí odkaz:
http://arxiv.org/abs/2410.14698
Standard multi-agent reinforcement learning (MARL) algorithms are vulnerable to sim-to-real gaps. To address this, distributionally robust Markov games (RMGs) have been proposed to enhance robustness in MARL by optimizing the worst-case performance w
Externí odkaz:
http://arxiv.org/abs/2409.20067
Recovering the underlying clustering of a set $U$ of $n$ points by asking pair-wise same-cluster queries has garnered significant interest in the last decade. Given a query $S \subset U$, $|S|=2$, the oracle returns yes if the points are in the same
Externí odkaz:
http://arxiv.org/abs/2409.10908